aeonflux-klein

FLUX.2 [klein] 4B conversion of ms2stationthis/aeonflux (originally FLUX.1-dev). Trigger: "aeon".

Trigger word: aeon Retrained onto FLUX.2 [klein] 4B from ms2stationthis/aeonflux (FLUX.1-dev).

Sample Outputs

sample sample
aeon, This image is a digital illustration of a young aeon in a fantasy genre, specifical… aeon, This image is a digitally manipulated photograph featuring a young aeon with a ligh…
sample sample
:---: :---:
aeon, This is a digitally created image featuring a young aeon with a striking appearance… aeon, This image is a digitally created pixel art illustration with a vibrant, anime-insp…

Usage (Diffusers)

import torch
from diffusers import Flux2Pipeline

pipe = Flux2Pipeline.from_pretrained(
    "black-forest-labs/FLUX.2-klein-4B", torch_dtype=torch.bfloat16
).to("cuda")
pipe.load_lora_weights("ms2stationthis/aeonflux-klein")
image = pipe("aeon, a character portrait", guidance_scale=4.0, num_inference_steps=25).images[0]
image.save("out.png")

Recommended Settings

LoRA strength Guidance Steps Resolution
0.8–1.0 4.0 25 1024×1024

Training Details

  • Base: black-forest-labs/FLUX.2-klein-base-4B
  • Steps: 4000 · Network: LoRA rank 32 / alpha 32
  • Optimizer: adamw8bit, lr 1e-4 · Scheduler: flowmatch
  • Resolution: 512, 768, 1024 (multi-res bucketed) · Precision: bf16 train / fp16 save

Reproduction

This repo includes the full dataset/ (20 image-caption pairs) and the exact config.yaml so the LoRA can be retrained as-is.

About

Trained on StationThis — an AI creative platform powered by $MS2. Train your own LoRAs via @stationthisbot on Telegram.

Published via noema.

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